The Role of Data in AI Evolution | Daniela Braga, Defined.AI

In today’s fast-paced business environment, time is a valuable resource. Yet, many employees find themselves bogged down by mundane tasks that hinder their ability to focus on more strategic work. Xembly, an AI-powered platform, seeks to address this challenge by automating group tasks and streamlining collaboration processes.

In this episode, we interview Jason Flaks, co-founder of Xembly, about the role of AI in automating mundane tasks for knowledge workers. Jason shares his nontraditional path into the world of AI, starting as a musician and transitioning to software engineering. He discusses the pain points Xembly aims to solve, such as group collaboration tasks like scheduling meetings and taking meeting notes. Jason explains the special sauce of AI in solving these problems more efficiently and highlights the differentiation of Xembly from other tools in the market. He also dives into the various AI components involved in Xembly’s solution, including conversational understanding, planning, negotiation, and distribution of information.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. 

Founder Bio: 

Jason is presently serving as the Co-founder and Chief Technology Officer at Xembly, where he leverages years of expertise in adeptly crafting software products rooted in cutting-edge technologies such as Artificial Intelligence, Machine Learning, Virtual and Augmented Reality, Speech Recognition, Audio Signal Processing, and Streaming Media. As a founding member of both the Microsoft Xbox Kinect and HoloLens teams, he played a pivotal role in groundbreaking innovations, notably contributing as the primary inventor of open microphone, no push-to-talk speech recognition. With a remarkable portfolio boasting 40+ patents in conversational AI and natural language innovations, Jason brings a wealth of knowledge to the tech industry. He holds a Master's degree in Engineering from the University of Miami.

Time Stamps: 

01:48 Introduction and background of Jason Flaks
08:17 Pain points that lead to creating Xembly
14:00 How Calendly works well in a lopsided marketplace but not in an organization
18:26 The focus on solving the end-to-end lifecycle problem
22:43 Differentiating between AI and language models
24:20 AI challenges in identifying speakers in a room
26:19 Challenges of building a dialogue system for group negotiations
29:30 Importance of planning, negotiation, and decision-making in AI systems
31:50 Hiring resources for AI product development
35:40 Importance of expertise in conversational AI for feature generation
38:41 Benefits of domain expertise in building AI systems
40:04 Getting the right person for the right job
44:06 What new updates can we expect from Xembly in 2024
47:24 How to get in contact with the Xembly Team

Resources

Company website: https://www.xembly.com/
Twitter: https://twitter.com/MeetXembly
LinkedIn: https://www.linkedin.com/company/xembly/
Instagram: https://www.instagram.com/meetxembly/

The rise of online learning platforms like Coursera and Udemy has created a massive demand for learning new skills. However, the completion rates on these platforms have been disappointingly low, with only 1% to 2% of learners actually finishing a course. This is due to the lack of personalization and the absence of support for learners who may have different backgrounds and prerequisites.

Korbit recognized this problem and set out to create a solution that would address the individual needs of learners. Their initial approach was to build an e-learning platform that used AI to personalize the learning experience. However, they soon realized that even with personalization, learners still struggled to identify what skills they needed to learn and how to apply them in their jobs.

In this episode, we sit with Iulian Vlad, CEO and Co-founder of Korbit. Iulian shares his journey from being a math and AI enthusiast to working on personal assistants for Amazon's Echo device. He discusses the pain points in online learning and workforce training, highlighting the lack of personalization and the disconnect between learning and job requirements. Iulian explains how Korbit's AI mentor platform solves these issues by providing personalized, in-context learning within the workflow of software engineers. He also discusses the challenges of remote work and the importance of building a strong team culture.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.
 
Founder Bio:

Iulian is the founder of Mila spin-off Korbit, a startup on a mission to transform the future of work and learning on the job. Korbit is building an AI Mentor for Software Engineering which does code reviews and just like a senior engineer detects issues and explains how-to fix them. The AI Mentor can detect over 10,000 issues from critical bugs and security vulnerabilities to code architecture and performance issues. The AI Mentor then trains the software engineering team to resolve them. The result: teams ship code better, faster and accelerate their code review process by 10x while improving code quality and upskilling engineers.
Iulian completed his Ph.D. in Artificial Intelligence and his Master's in Computer Science and Computational Statistics. He is the winner of the C2 Emerging Entrepreneurs Award and NeurIPS Competition Award, and is an alumni of the Mila research lab with over 20 peer-reviewed scientific papers and books published to date. Iulian was the employee #1 of Copenhagen startup DigiCorpus building AI for healthcare solutions. There he developed from scratch their AI-powered physiotherapy solution and launched it into the market.

Time Stamps:
 
02:06 Julian’s background in AI and his work on personal assistants
06:00 The pain point in workforce training and learning
09:52 Companies’ struggle to identify future skill needs
12;48 Korbit’s approach to personalized learning and relevancy
15:00 Building an AI mentor product that identifies needs and delivers targeted  Micro lessons.
20:25 Why technical founders struggle to attract business people and vice versa.
22:44 Managers often don’t know what their team needs or the skills their team members hav.
24:37 Training must focus on real issues, not management’s assumptions
27:26 Using data from code repositories and comments to identify issues and make recommendations
30:52 Prioritizing privacy by deleting source code and offering a self-hosted solution
33:37 Remote team and best practices for remote work using the product internally
37:01 Fundraising journey for an AI startup
40:48 Challenges of AI startups and competition with OpenAI
42:15 Languages Supported By the Engineer AI mentor
44:16 What coming up, contact information, and how to learn more about Korbit

Resources

Company website: https://www.korbit.ai/
LinkedIn: https://www.linkedin.com/company/korbit-tech/
Facebook: https://www.facebook.com/KorbitTech/
Twitter: https://twitter.com/Korbit_Tech

Today we sit with Michael Simpson, the founder of Pairin; a company that uses AI to connect individuals to relevant resources and career opportunities. With a background in the technology industry, Michael has always been involved in cutting-edge technologies and has a passion for leveraging AI to solve complex problems. He shares his journey and the inspiration behind creating Pairin, a platform that helps individuals navigate their careers and make informed decisions. With AI-driven features like resume and cover letter creation, Pairin aims to provide personalized guidance and improve the job search process. Michael emphasizes the importance of AI in constantly improving and adapting to user needs, ultimately helping individuals find success in their chosen paths.

AI fulfills people’s desires by providing instant answers and enabling them to do things they couldn’t do on their own. Pairin’s product is a framework that allows institutions to build customized workflows and conversations with individuals to help them make wise decisions and navigate their career paths.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.

Founder Bio:

Michael is a son of educators, and corporate intrapreneur turned 3x entrepreneur. His passion for helping people reach their potential was fuelled by his rise from poverty to international recognition as a market strategist. He co-founded PAIRIN after over a decade as a certified coach and spent seven years living in Russia coaching many at-risk young adults to successful careers. As the CEO of PAIRIN, he works to bridge the opportunity gap for future generations by making every person’s career and education journey more relevant and attainable.
Under Michael’s leadership PAIRIN, founded and based in Denver, CO, has received numerous awards, including the 2023 Inc. Fastest-Growing Company, BuiltIn’s 2023 & 2022 Best Places To Work for Small Colorado Companies, 2021 EdTech Breakthrough Award for College Prep Company of the Year, Business Insider’s 50 Coolest Companies in America, Outside’s 50 Best Places to Work in 2021, 2019 and 2018, Denver Business Journal’s Best Places to Work in 2019, the 2017 Denver Chamber of Commerce Start-Up of the Year, the 2017 Colorado Technology Association APEX Emerging Tech Company of the Year award and 2017 Colorado Companies to Watch winner.
 
Time Stamps:
 
01:55 Introduction and background of Michael Simpson
06:13 The pain point that led to the creation of Pairin
12:03 The problem Pairin solves: connecting people to relevant resources
13:55 Designing workflows to guide individuals through career decisions
16:41 Selling to state agencies, workforce organizations, and trade associations
18:36 Using AI avatars and resume/cover letter creator
21:17 How descriptive AI educates users in resume and cover letter creation
25:35 Managing algorithms to bypass employment gaps
28:23 Building technology with a diverse team of experts
30:26 Vetting AI companies to ensure their technology is genuine
33:12 Integrity and truthfulness in AI companies
34:18 Identifying patterns in large datasets with AI
36:30 The difference between traditional software and AI products
39:40 Contact information and how to learn more about Pairin
 
 
Resources
Company website: https://www.pairin.com/
LinkedIn: https://www.linkedin.com/company/pairin-inc-/
Facebook: https://web.facebook.com/PairinInc
Twitter: https://twitter.com/Definedai

In the realm of artificial intelligence (AI), data plays a crucial role. In essence, it serves as the backbone of AI, providing the necessary nourishment to the algorithms and models that power intelligent systems. As AI continues to evolve, data will remain a primary focus to ensure the continued growth and success of intelligent machines.
 
In this episode we sit with Daniela Braga, CEO and Founder of Defined AI. Daniela discusses her journey in AI and the pain point she set out to solve. She explains how her background in linguistics led her to work on the first text-to-speech system in European Portuguese and voice assistants for Microsoft. Daniela saw the need for data at scale, especially in local languages, and founded Defined AI to address this problem. The company offers a crowdsourcing platform and a marketplace for training data, ensuring responsible AI and machine learning readiness. Daniela also shares her thoughts on the future of AI, the challenges of data collection, and the impact of regulations on the industry.
 
With the increasing usage of AI in our lives, the ethical implications of data collection and AI algorithms come into focus. Dr. Braga emphasizes the importance of responsible AI and the need for companies to be transparent about how they collect and use data. Defined AI takes a proactive approach to ensure that the data it collects is consented and properly vetted.
 
If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.

Founder Bio:

Dr. Daniela Braga is the founder and CEO of Defined.ai, one of the fastest-growing startups in the AI space. She has been the recipient of several awards, including the E&Y Entrepreneur of the Year Pacific Northwest 2020 Award, #27 Deloitte Fast 500 2020 (#1 in the Pacific Northwest region); #27 in Inc.5000 in 2020, and Goldman Sachs Most Intriguing 100 Entrepreneurs in 2021. She is a member of the World Economic Forum’s Expert Network as a Tech Pioneer and AI Expert in WEF Davos 2022. She’s also a YPO and a Chief member. Dr. Braga has raised over $80 million of Venture Capital, making her the woman founder in AI who has raised more capital in the world. Dr. Braga has been appointed to the National Artificial Intelligence (AI) Research Resource Task Force, a 12-person body that advises the US president on the AI strategy of the United States. She is also an advisor to the President of Portugal.

Time Stamps:
 
02:20 Introduction and background of Daniela Braga
06:19 Importance of local languages and inclusivity in AI
09:50 Limitations of data availability in generative AI
11:47 Utilizing crowdsourcing and synthetic data for AI training
14:21 Acquisition and processing of specific data for AI solutions
17:54 Advantages of the data lake and metadata extraction
20:56 Discussion on proprietary data and its use in AI solutions
23:43 Awareness of data usage and government regulations
28:12 Potential shift towards paying for data protection and meaningful content
29:39 OpenAI’s growth, Microsoft deal, and potential regulation
32:22 Lack of reverse engineering measures and outdated information in AI search results
34:29 Defined AI’s use of AI internally
37:40 Daniela Braga’s experience raising VC capital
40:17 How to learn more about Defined AI
 
Resources
Company website: https://defined.ai/
LinkedIn: https://www.linkedin.com/company/definedai/
Twitter: https://twitter.com/Definedai

Artificial intelligence (AI) has become a household term, and its applications are revolutionizing various industries. One area where AI is making a significant impact is heavy industry, including manufacturing, energy, and utilities. In these sectors, companies often face the challenge of outdated digital infrastructure, which hampers productivity and data quality. However, the emergence of conversational AI is changing the game by streamlining processes and improving efficiency.

In this opportunity we speak with Mark Fosdike, the CEO & Co-founder of Datch, a company that specializes in conversational AI solutions for heavy industry. Mark's background in aerospace and his firsthand experience with the challenges faced by frontline workers in heavy industry inspired him to develop a solution that would revolutionize the way data is captured and processed. In our conversation, Mark shared insights into the journey of building Datch and the transformative power of conversational AI.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. 

Founder Bio: 

Mark Fosdike, CEO of Datch, is a visionary leader in the field of asset management and a dedicated entrepreneur. With over two decades of industry experience, Mark has an exceptional understanding of the challenges and opportunities in asset management, and a proven track record of driving innovation and growth.
Before founding Datch, Mark held several senior leadership positions in renowned global companies, where he gained extensive expertise in industrial operations, and technology. His passion for delivering cutting-edge solutions led him to establish Datch, with the aim of revolutionizing asset management through the integration of advanced AI-driven features.

Time Stamps: 

01:54 Mark’s background before creating Datch
04:14 Identifying the problem of inefficient data input in heavy industry
06:20 How Datch uses conversational AI to speed up processes and improve data quality
09:13 Adaptability of Datch's interface for frontline workers
10:40 Leveraging large language models for accurate speech-to-text and prompt engineering
13:12 Customization and application to specific use cases
15:48 Approach to acquiring new customers
17:55 Typical sales cycle and stakeholders involved
19:34 Changing interest in AI solutions over time
22:59 Mark discusses the need for a consultative sales approach 
24:38 Founders' background and passion for building things
28:21 Importance of building a network and finding advisors
29:58 Getting advisors to buy in with equity and commitment
32:30 Hiring strategy and the importance of hungry generalists
34:01 Fundraising journey and challenges as a first-time founder
37:58 Exciting things coming up in the future 
38:53 How to get in contact with the Datch team

Resources

Company website: https://www.datch.io/
Twitter: https://twitter.com/datchsystems
LinkedIn: https://www.linkedin.com/company/datch/
Facebook: https://web.facebook.com/Datch.io

In this episode, we interview Dilip Mohapatra, the CEO, and founder of Cognitive View, a company that uses AI to solve compliance and customer complaint issues in regulated industries. We discuss how their AI technology is helping businesses in regulated industries monitor and analyze customer conversations to ensure compliance and improve customer service. He shares how the idea for Cognitive View came about and the challenges they faced in building their AI solution.

Dilip explains the importance of understanding complex legal requirements and how their AI model can identify compliance breaches in customer conversation. He also discusses the value of generative AI and the unique capabilities its offers. Dilip highlights the metrics they use to measure the success of their ai solution, including reducing compliance and conduct risk by up to 70% and reducing customer complaints by 50%. He also touches on the fundraising journey for cognitive view and the importance of finding investors who can provide value beyond just capital

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.

Founder Bio:

Dilip Mohapatra is the founder of Cognitive View, a regtech company that creates solutions that monitors communication and collaboration channels to automate compliance, quality, customer experience, and conduct risk. It provides the necessary tools to create a customer-centric culture and risk-based supervision that automates operational risk. Cognitive View has been recognized as RegTech100 globally; AI Fintech 100; the best vendor solution for Managing Conduct Risk at the Regtech Insight APAC Awards 2021; and a 2021 IBM Beacon Award Finalist. Dilip has successfully built an enterprise software channel business with IBM and held a variety of product management roles, including HP, Hyro, and Ipedo.

Time Stamps:

01:58 Background of Dilip and Cognitive View

04:05 Challenges faced by companies in managing compliance and misconduct

05:11 Monitoring conversations and identifying compliance breaches with AI

07:36 The importance of understanding complex legal requirements in AI models

10:28 Use cases of Ai in voice, video, and text conversations

12:29 Target industries and metrics for ROI

15:30 Building the Ai solution and the importance of talent

18:03 Challenges in accessing data and the use of proprietary data

22:01 Proof of concept process and requirements for customer engagement

27:01 Leveraging generative AI and proprietary data for unique solutions

30:45 Providing contextual and industry-specific AI solutions

34:33 Fundraising journey and the value of investors

36:56 Talent sourcing ante importance of distributed teams

38:49 Balancing privacy and data sovereignty in a distributed company

42:00 How to get in contact with the Cognitive View team

Resources

Company website: https://www.cognitiveview.com/

Twitter: https://twitter.com/cognitiveviewai

LinkedIn: https://www.linkedin.com/company/cognitiveview/

Artificial Intelligence (AI) has revolutionized how businesses operate, and supply chain management and insurance are no exceptions. With the ability to analyze vast amounts of data and identify patterns, AI has the potential to transform supply chain operations and insurance claims management, making them more efficient, cost-effective, and responsive to customer demands. In this thought leadership article, we explore the power of AI in supply chain management and insurance.

In this episode, we sit with Stan Smith CEO of Gradient AI. Stan has founded six companies and has been working with machine learning and AI since the late 1990s. Stan shares his experiences working with AI and machine learning, starting with his first startup that focused on supply chain management. He discusses how his company used machine learning to predict which suppliers were likely to have issues and how this helped his clients save millions of dollars. Stan also talks about the pain point he saw in the insurance market and how Gradient AI is assisting businesses to leverage AI to solve complex problems and improve their operations. In this episode, Stan also talks about the importance of equity in startups, the challenges of building AI solutions in the insurance industry, and the measures Gradient AI took to ensure client data was secure.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. 

Founder Bio: 

Stan Smith is the  Founder and CEO of Gradient AI. Stan founded Gradient AI, first as a unique practice within Milliman to focus on the risk management and insurance industry’s most challenging business problems. He acquired the business from Milliman in 2018, founding Gradient AI as a rapidly growing independent SaaS organization. With nearly 30 years of experience growing AI and technology organizations, Stan’s leadership ensures that Gradient AI is applying the latest Artificial Intelligence and Machine Learning technologies to the insurance industry, resulting in proven financial performance for its stellar list of customers and better treatment and outcomes for individuals. Stan has held founding or executive-level roles for multiple startup companies, including Vice President at MatrixOne, Executive Vice President and General Manager at Agile Software, and CEO and Founder at OpenRatings.Stan also led the development of patented technologies including: technology that predicts bankruptcies for small, privately held suppliers; a global database to improve supplier performance for more than 80 million companies; and, technology that combines assessments with performance data to identify opportunities for reducing inefficiencies through lean initiatives.

Time Stamps: 

02:17 Stan Smith's background and experience in the startup world

06:15 Paint point that led to the idea for Gradient AI

09:04 Importance of identifying high-risk claims early 

12:18 Ability of Gradient AI's models to accurately predict the cost of a claim

14:32 The complementary nature of AI and human adjusters in claims processing

17:07 Engaging with clients in underwriting operations

19:52 Integration of Gradient AI solutions into commercial systems

23:40 Challenges of building AI solutions in the insurance industry

25:11 Importance of having a team with both AI and insurance expertise

27:14 The importance of culture and team in attracting talent

29:36 Incentives that Gradient AI offers to attract the right talent

32:51 Educating insurance companies about AI and the impact of the pandemic

37:29 Turning interest in AI into investible business problems

40:14 Fundraising journey and partnerships with insurance-focused venture capitalists

41:57 Selecting investors based on industry and AI experience

43:44 Whats coming up new for Gradient AI

44:10 How to get in contact with the Gradient AI team

Resources:

Company website: https://www.gradientai.com/

Twitter: https://twitter.com/GradientAI1

Facebook: https://www.facebook.com/gradientai/

LinkedIn: https://www.linkedin.com/company/gradientai/

In this episode, we sit with Dr. Karim Galil, the founder and CEO of Mendel.AI, an artificial intelligence-powered platform that extracts insights from medical records to improve patient outcomes. Dr. Galil shares his journey from practicing medicine to becoming a tech entrepreneur and the role that AI can play in making healthcare more data-driven. He discusses the challenges of subjective medical practices and the potential for AI to learn from every patient's journey.

Dr. Galil explains that symbolic AI is more focused on teaching machines fundamentals of logic, rules, and concepts, while machine learning is more focused on learning from patterns. He gives an example of the opioid crisis, where a machine learning model would learn that opioids are great because humans are prescribing them, while a symbolic system would understand what opioids are and what the best options are. In the process of building AI in healthcare, Mendel.AI has used both symbolic AI and machine learning. Dr. Galil also discusses the challenges of talent acquisition in the AI industry and how the economy can impact AI talent availability. He emphasizes the importance of hiring talent with grit, curiosity, and coachability and the benefits of hiring mid-level to junior talent to assist the genius.

Mendel.AI is a healthcare platform that uses symbolic AI and machine learning to provide personalized treatment plans for patients. The platform reads every medical record and encounter between patients and healthcare systems to help physicians make more objective decisions. Mendel.AI works with big pharmaceuticals, payers, and data companies to help them read their data and glean insights to make better decisions. The platform can help pharmaceutical companies understand which patients respond better to what drug and in what occasions, and payers can decide whether to cover a certain medication or not. Mendel.AI uses domain experts to learn from, rather than just data and can help pharmaceutical companies discontinue drugs that are not effective and optimize their drug offerings.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. 

Founder Bio: 

Dr. Karim Galil, MD, is the CEO and Co-founder of Mendel.AI. Mendel's mission is to learn from every patient by structuring and de-identifying patient data at a machine scale and human fidelity to power clinical and research use cases. Dr. Galil’s experience as a physician demonstrated that medicine does not advance at the same rate as technology. With Mendel, he aims to bridge this gap, facilitate clinical research at scale, and make medicine objective. Dr. Galil’s expertise in AI, medical informatics, and digital health makes him a sought-after presence at global conferences.

Time Stamps: 

01:49 Introduction of Dr. Karim Galil and his background in medicine 

06:59 The potential for AI to learn from every patient's journey

10:41 The challenges of working with unstructured medical data 

12:19 The importance of explainable AI in healthcare 

15:20 Using real-world data to identify drug effectiveness in specific patient profiles

18:02 The difference between machine learning and symbolic AI 

21:09 Difference in talent and approach needed for symbolic AI vs machine learning

23:02 The process of building concepts for symbolic AI

25:53 Challenges of talent acquisition in the AI industry

27:49 The impact of the economy on AI talent availability

31:49 The importance of hiring talent with grit, curiosity, and coachability

35:18 Building a competitive advantage and a mode in AI startups

38:53 Challenges of finding the right investors for AI startups 

41:51 The myth of VCs being a value add and the importance of cash and brand

43:01 Who is the end user and how do they engage with the product

45:49 How to get in contact with the Mendel team

Resources:

Company website: https://www.mendel.ai/

Twitter: https://twitter.com/mendel_ai_

Facebook: https://www.facebook.com/mendelai/

LinkedIn: https://www.linkedin.com/company/mendel-ai

Today we sit with Michael D. Abramoff, a neuroscientist and the founder of Digital Diagnostics, a company that leverages artificial intelligence (AI) to provide autonomous medical diagnosis. In this interview, Michael shares his background and how he got into AI, as well as his vision for the future of medical diagnosis. He discusses how he uses AI to make medical diagnoses, the challenges he faces, and the potential for AI to revolutionize healthcare. He also talks about his involvement in other AI-related projects and his thoughts on the ethical implications of AI in healthcare. In addition, Michael delves into the safety concerns surrounding AI, particularly with language learning models (LLMs), and the importance of ensuring that AI is safe and free of bias.

Michael’s vision for AI in healthcare goes beyond mere assistance or augmentation of human decision-making. He believes that AI can make diagnoses and treatment decisions autonomously, without the need for human intervention. However, the promise of autonomous AI must be balanced with the potential pitfalls. As he pointed out, AI that learns from biased or fallible humans can produce models that are worse off. In healthcare, this could lead to harm to patients if doctors blindly follow AI recommendations.

Digital Diagnostics is a company that uses AI to diagnose diabetic retinopathy and increase healthcare access for underserved patients. The AI is trained to detect specific lesions using clinical knowledge and chunk by chunk learning to avoid bias. Healthcare providers can approve or disapprove the AI's recommendations, and the company aims to supplement rather than displace professionals.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.

Founder Bio:

Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist, and entrepreneur. He is Founder and Executive Chairman of Digital Diagnostics, the first company ever to receive FDA clearance for an autonomous AI diagnostic system. To transform the quality, accessibility, and affordability of global healthcare through the automation of medical diagnosis and treatment. In primary care, it can instantaneously diagnose diabetic retinopathy and diabetic macular edema at the point of care. Dr. Abramoff developed an ethical foundation for autonomous AI that was used during the design and validation, and regulatory and payment pathways for autonomous AI. As the author of over 350 peer-reviewed publications in this field, he has been cited over 42,000 times, and is the inventor of 20 issued patents and many patent applications. Dr. Abramoff has mentored dozens of engineering graduate students, ophthalmology residents, and retina fellows. His passion is to use AI to improve the affordability, accessibility, and quality of care.

Time Stamps:

02:10 Michael's background as a neuroscientist and his interest in AI

05:37 Safety concerns surrounding AI, particularly with LLMs

07:08 The challenges of implementing AI in healthcare

09:07 The importance of AI supporting decision making rather than making decisions

11:02 The potential for AI to revolutionize healthcare

15:25 The importance of ensuring access to healthcare for all

18:40 The pain points behind creating Digital Diagnostics

21:49 Creating an ethical framework for regulation and reimbursement of AI

24:02 Potential for AI to outperform human experts in diagnosing medical conditions

26:00 Importance of clinical outcomes: acquiring data for AI and ensuring inclusivity

29:26 The impact of pigmentation on AI training data

31:37 Talent shortage in AI: transition from rule-based systems to machine learning

33:00 Understanding the fundamentals of AI despite increased efficiency

35:10 The need to prove the worth of AI in healthcare through clinical outcomes

37:24 How to get in contact with the Digital Diagnostics team

Resources:

Company website: https://www.digitaldiagnostics.com/

Facebook: https://www.facebook.com/AItheRightWay

LinkedIn: https://www.linkedin.com/company/digital-diagnostics

In this episode, we sit with Pankit Desai, a seasoned corporate leader with nearly three decades of experience in the tech industry. Pankit shares his insights into the ever-evolving world of technology and its profound impact on businesses and society. He also takes us on a journey through the waves of technological advancements he has witnessed throughout his career, from crowdsourcing to digital transformation. We explore the advantages these waves have brought, including labor arbitrage, price advantage, and time-to-market advantage, allowing companies to stay competitive in the ever-changing market landscape and we discover how technology has become an integral part of our daily lives, driven by the internet and the proliferation of mobile devices. 

The conversation then turns to the integration of artificial intelligence (AI) into businesses and organizations. Pankit highlights the prerequisites for AI success: data, compute capacity, and connectivity. They explore how these prerequisites have made AI more accessible, paving the way for its positive impact on various aspects of life. 

With a focus on security, Pankit shares his expertise in applying AI to tackle the challenges of a rapidly evolving threat landscape. He emphasizes the limitations of siloed security solutions and reveals how AI can provide real-time threat identification and response without additional manpower. He then recounts his own journey of founding Secure Tech eight years ago, where he leveraged AI to address the critical cybersecurity problem.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. 

Founder Bio: 

Pankit Desai is an Indian entrepreneur and the co-founder and CEO of Sequretek, a cybersecurity, cloud security products, and services company. He co-founded Sequretek in 2013, along with Anand Naik, and has been instrumental in growing the company into a leading provider of cybersecurity and cloud security solutions. Before starting Sequretek, Pankit held various technology leadership and management roles in the IT industry across companies such as across companies such as NTT Data, Intelligroup, and Wipro Technologies. He holds a degree in computer engineering and has a strong background in technology and entrepreneurship.  At Sequretek, he is proud of the growth that this team has been able to achieve within a short duration. With product offerings that have found resonance with over 120 customers across industry segments, it has been able to grow at phenomenal growth rates and has ambitions to create India’s first truly global security product and solutions company. Under Pankit's leadership, Sequretek has won several awards and recognition for its innovative solutions and commitment to the cybersecurity industry.

Time Stamps: 

01:56 Pankit’s background on AI and the impact of technology on everyday life

06:07 Impact of AI on businesses and organizations

09:35 Exploring the power of AI in cybersecurity

12:39 Possibility of AI-driven security solutions for data consumption and threat response

14:23 Zero-day threats and data acquisition strategies

19:27 AI product differentiation and competitive advantage

21:32 Benefits of AI for security challenges

25:30 Building trust and acquiring customers in the cybersecurity space

27:59 Closing deals and raising capital

30:05 Leveraging AI and security to run a capital efficient business

32:46 Using offshore talent for capital efficiency in the product build lifecycle 

34:44 Leveraging talent in India for product engineering success

37:18 Strategies for building a secure and successful business in 2023

39:16 Impact of large language models on the threat environment 

41:01 How to get in contact with the Sequretek team

Resources:

Company website: https://sequretek.com/

Facebook: https://www.facebook.com/sequretek.sqtk/

Instagram: https://www.instagram.com/sequretek/

LinkedIn: https://www.linkedin.com/company/sequretek

Twitter: https://twitter.com/sequretek_sqtk